Version 1
: Received: 24 July 2024 / Approved: 25 July 2024 / Online: 26 July 2024 (08:08:26 CEST)
How to cite:
Tang, Y.; Zheng, B.; Yu, T. Crack Identification Method for Prefabricated Concrete Pavement Based on Distributed Strain Monitoring. Preprints2024, 2024072046. https://doi.org/10.20944/preprints202407.2046.v1
Tang, Y.; Zheng, B.; Yu, T. Crack Identification Method for Prefabricated Concrete Pavement Based on Distributed Strain Monitoring. Preprints 2024, 2024072046. https://doi.org/10.20944/preprints202407.2046.v1
Tang, Y.; Zheng, B.; Yu, T. Crack Identification Method for Prefabricated Concrete Pavement Based on Distributed Strain Monitoring. Preprints2024, 2024072046. https://doi.org/10.20944/preprints202407.2046.v1
APA Style
Tang, Y., Zheng, B., & Yu, T. (2024). Crack Identification Method for Prefabricated Concrete Pavement Based on Distributed Strain Monitoring. Preprints. https://doi.org/10.20944/preprints202407.2046.v1
Chicago/Turabian Style
Tang, Y., Bohan Zheng and Tao Yu. 2024 "Crack Identification Method for Prefabricated Concrete Pavement Based on Distributed Strain Monitoring" Preprints. https://doi.org/10.20944/preprints202407.2046.v1
Abstract
It is meaningful to monitor and identify the concrete cracks as they will seriously reduce the fatigue life of pavement. In this paper a new method based on distributed long-gauge optic fiber sensing is proposed to implement the crack identification. Firstly, the damage indicator, namely strain curve envelope area ratio (SCEAR), is proposed and calculated with the measured strain in time series when the plane goes across the pavement where the sensors are installed. Then the indicators with different sensors are normalization by the value of the indicator from one referenced sensor where damage normally will not happen. If the crack happens within the sensing gauge of the sensor, the value of damage indicator SCEAR from the sensor will increase. Therefore, the crack will be identified with the change of the damage indicator. The effect of the proposed method is first verified by some simulations of prefabricated pavement as the cracks can be accurately identified by the proposed method. Moreover, the influence from the aircraft, such as taxiing position, aircraft load and aircraft type, is not obvious enough to mislead the identification results. Lastly the static loading tests were implemented with one small-scale model of prefabricated concrete pavement in the lab. From the experimental results the prefabricated cracks inside the pavement slab can be identified accurately with the proposes method as the parameter SCEAR is increased by about 100% at the crack position, while it is only changed by about 3% at the undamaged position.
Keywords
Prefabricated concrete pavement; Distributed long-gauge optic fiber sensing; Crack identification; Strain curve envelope area ratio
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
